luchangli03/onnxsim_large_model
simplify >2GB large onnx model
This tool helps machine learning engineers and researchers manage large ONNX models, especially those from Stable Diffusion or large language models. It takes an existing ONNX model, processes it to remove redundant components, and outputs a smaller, simplified ONNX model. This is useful for improving model portability and deployment efficiency.
No commits in the last 6 months.
Use this if you need to optimize and reduce the size of ONNX models over 2GB, such as those used in large AI applications.
Not ideal if you need to maintain the exact original structure of your ONNX model without any simplification or if you are not working with ONNX model formats.
Stars
70
Forks
4
Language
Python
License
MIT
Category
Last pushed
Nov 30, 2024
Commits (30d)
0
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